Temperature Prediction by Machine Learning using Bolt Cloud
E. K. Arulkarthik · International Journal for Research in Applied Science and Engineering Technology · 2021
The project deals with the sensing of temperature with the help of LM35 in nay industrial level, say any pharmaceuticals company, which manufactures medicines.It is mandatory for the pharmaceuticals companies to keep track of the temperature they are using for the manufacturing purpose of medicines.Bolt cloud one can control and monitor devices over the internet, create personalized dashboards to visualize the data, monitor the device health, run machine learning algorithms etc. Internet of Things is the usage pf computing devices via the internet.The utilization of Machine Learning in prediction of temperature in short period of time, which can on less resource-intensive Computing system.This project can be extended to predict the future sensor values via Machine Learning over the bolt cloud.I.